
where the latent variables are obtained as component scores using what the authors refer to as weighted relation model \(\mathbf {z}_n=\mathbf {W}\mathbf {y}_n\) . The assumption regarding the means and covariance of the variables are identical to the LISERL model. It is interesting to note that the weighted relation model equation is no different conceptually than the encoding transformation that [1]} used to construct latent variable models from the reduced rank regression framework ( Section REF ).
